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0.        , 0.        ,\n","        0.09411765, 0.44705882, 0.86666667, 0.99215686, 0.99215686,\n","        0.99215686, 0.99215686, 0.78823529, 0.30588235, 0.        ,\n","        0.        , 0.        , 0.        , 0.        , 0.        ,\n","        0.        , 0.        , 0.        ],\n","       [0.        , 0.        , 0.        , 0.        , 0.        ,\n","        0.        , 0.        , 0.        , 0.09019608, 0.25882353,\n","        0.83529412, 0.99215686, 0.99215686, 0.99215686, 0.99215686,\n","        0.77647059, 0.31764706, 0.00784314, 0.        , 0.        ,\n","        0.        , 0.        , 0.        , 0.        , 0.        ,\n","        0.        , 0.        , 0.        ],\n","       [0.        , 0.        , 0.        , 0.        , 0.        ,\n","        0.        , 0.07058824, 0.67058824, 0.85882353, 0.99215686,\n","        0.99215686, 0.99215686, 0.99215686, 0.76470588, 0.31372549,\n","        0.03529412, 0.        , 0.        , 0.        , 0.        ,\n","        0.        , 0.        , 0.        , 0.        , 0.        ,\n","        0.        , 0.        , 0.        ],\n","       [0.        , 0.        , 0.        , 0.        , 0.21568627,\n","        0.6745098 , 0.88627451, 0.99215686, 0.99215686, 0.99215686,\n","        0.99215686, 0.95686275, 0.52156863, 0.04313725, 0.        ,\n","        0.        , 0.        , 0.        , 0.        , 0.        ,\n","        0.        , 0.        , 0.        , 0.        , 0.        ,\n","        0.        , 0.        , 0.        ],\n","       [0.        , 0.        , 0.        , 0.        , 0.53333333,\n","        0.99215686, 0.99215686, 0.99215686, 0.83137255, 0.52941176,\n","        0.51764706, 0.0627451 , 0.        , 0.        , 0.        ,\n","        0.        , 0.        , 0.        , 0.        , 0.        ,\n","        0.        , 0.        , 0.        , 0.        , 0.        ,\n","        0.        , 0.        , 0.        ],\n","       [0.        , 0.        , 0.        , 0.        , 0.        ,\n","        0.        , 0.        , 0.        , 0.        , 0.        ,\n","        0.        , 0.        , 0.        , 0.        , 0.        ,\n","        0.        , 0.        , 0.        , 0.        , 0.        ,\n","        0.        , 0.        , 0.        , 0.        , 0.        ,\n","        0.        , 0.        , 0.        ],\n","       [0.        , 0.        , 0.        , 0.        , 0.        ,\n","        0.        , 0.        , 0.        , 0.        , 0.        ,\n","        0.        , 0.        , 0.        , 0.        , 0.        ,\n","        0.        , 0.        , 0.        , 0.        , 0.        ,\n","        0.        , 0.        , 0.        , 0.        , 0.        ,\n","        0.        , 0.        , 0.        ],\n","       [0.        , 0.        , 0.        , 0.        , 0.        ,\n","        0.        , 0.        , 0.        , 0.        , 0.        ,\n","        0.        , 0.        , 0.        , 0.        , 0.        ,\n","        0.        , 0.        , 0.        , 0.        , 0.        ,\n","        0.        , 0.        , 0.        , 0.        , 0.        ,\n","        0.        , 0.        , 0.        ]])"]},"metadata":{},"execution_count":16}]},{"cell_type":"code","source":["#ANN\n","model = keras.Sequential([\n","    keras.layers.Flatten(input_shape=(28,28)),\n","    keras.layers.Dense(100,activation = 'relu'),\n","    keras.layers.Dense(10,activation = 'softmax')\n","])"],"metadata":{"id":"ppplva_2fiq6","executionInfo":{"status":"ok","timestamp":1669979330582,"user_tz":-330,"elapsed":347,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"}}},"execution_count":20,"outputs":[]},{"cell_type":"code","source":["model.summary()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"c4ULVeT1hKK8","executionInfo":{"status":"ok","timestamp":1669979402559,"user_tz":-330,"elapsed":19,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"}},"outputId":"339e5e1a-d7a8-4227-d59c-aa47d1049156"},"execution_count":21,"outputs":[{"output_type":"stream","name":"stdout","text":["Model: \"sequential_1\"\n","_________________________________________________________________\n"," Layer (type)                Output Shape              Param #   \n","=================================================================\n"," flatten_1 (Flatten)         (None, 784)               0         \n","                                                                 \n"," dense_2 (Dense)             (None, 100)               78500     \n","                                                                 \n"," dense_3 (Dense)             (None, 10)                1010      \n","                                                                 \n","=================================================================\n","Total params: 79,510\n","Trainable params: 79,510\n","Non-trainable params: 0\n","_________________________________________________________________\n"]}]},{"cell_type":"code","source":["model.compile(optimizer= 'adam',loss = 'sparse_categorical_crossentropy',metrics=[\"accuracy\"])"],"metadata":{"id":"fd-uyIRPh214","executionInfo":{"status":"ok","timestamp":1669980169331,"user_tz":-330,"elapsed":380,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"}}},"execution_count":26,"outputs":[]},{"cell_type":"code","source":["model.fit(x_train,y_train,epochs = 10)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"fGPh5USojM2n","executionInfo":{"status":"ok","timestamp":1669980254943,"user_tz":-330,"elapsed":83646,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"}},"outputId":"ed6b8efd-a693-4e38-888b-e52d8b15285c"},"execution_count":27,"outputs":[{"output_type":"stream","name":"stdout","text":["Epoch 1/10\n","1875/1875 [==============================] - 6s 3ms/step - loss: 0.0178 - accuracy: 0.9944\n","Epoch 2/10\n","1875/1875 [==============================] - 6s 3ms/step - loss: 0.0145 - accuracy: 0.9955\n","Epoch 3/10\n","1875/1875 [==============================] - 6s 3ms/step - loss: 0.0122 - accuracy: 0.9962\n","Epoch 4/10\n","1875/1875 [==============================] - 6s 3ms/step - loss: 0.0101 - accuracy: 0.9971\n","Epoch 5/10\n","1875/1875 [==============================] - 6s 3ms/step - loss: 0.0094 - accuracy: 0.9969\n","Epoch 6/10\n","1875/1875 [==============================] - 5s 3ms/step - loss: 0.0090 - accuracy: 0.9970\n","Epoch 7/10\n","1875/1875 [==============================] - 6s 3ms/step - loss: 0.0081 - accuracy: 0.9974\n","Epoch 8/10\n","1875/1875 [==============================] - 6s 3ms/step - loss: 0.0065 - accuracy: 0.9981\n","Epoch 9/10\n","1875/1875 [==============================] - 6s 3ms/step - loss: 0.0063 - accuracy: 0.9979\n","Epoch 10/10\n","1875/1875 [==============================] - 6s 3ms/step - loss: 0.0068 - accuracy: 0.9978\n"]},{"output_type":"execute_result","data":{"text/plain":["<keras.callbacks.History at 0x7fcf3b467310>"]},"metadata":{},"execution_count":27}]},{"cell_type":"code","source":["model.evaluate(x_test,y_test)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"bf2HRtYKkycr","executionInfo":{"status":"ok","timestamp":1669980311615,"user_tz":-330,"elapsed":812,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"}},"outputId":"7703b5d8-df74-45cb-9b06-2808c0420cf9"},"execution_count":28,"outputs":[{"output_type":"stream","name":"stdout","text":["313/313 [==============================] - 1s 2ms/step - loss: 0.1073 - accuracy: 0.9782\n"]},{"output_type":"execute_result","data":{"text/plain":["[0.10726751387119293, 0.9782000184059143]"]},"metadata":{},"execution_count":28}]},{"cell_type":"code","source":["#CNN\n","model = keras.Sequential([\n","    layers.Conv2D(300,(3,3),activation='relu',input_shape=(28,28,1)),\n","    layers.MaxPooling2D((2,2)),\n","    layers.Flatten(),\n","    layers.Dense(100,activation = 'relu'),\n","    layers.Dense(10,activation = 'softmax')\n","])"],"metadata":{"id":"FpFwaS_7lUQ9","executionInfo":{"status":"ok","timestamp":1669981461012,"user_tz":-330,"elapsed":13,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"}}},"execution_count":39,"outputs":[]},{"cell_type":"code","source":["model.summary()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"NZU_kVEnmMx3","executionInfo":{"status":"ok","timestamp":1669981464576,"user_tz":-330,"elapsed":362,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"}},"outputId":"1134d761-0ac2-40f7-9695-f580f9d96d5f"},"execution_count":40,"outputs":[{"output_type":"stream","name":"stdout","text":["Model: \"sequential_4\"\n","_________________________________________________________________\n"," Layer (type)                Output Shape              Param #   \n","=================================================================\n"," conv2d_2 (Conv2D)           (None, 26, 26, 300)       3000      \n","                                                                 \n"," max_pooling2d_2 (MaxPooling  (None, 13, 13, 300)      0         \n"," 2D)                                                             \n","                                                                 \n"," flatten_4 (Flatten)         (None, 50700)             0         \n","                                                                 \n"," dense_8 (Dense)             (None, 100)               5070100   \n","                                                                 \n"," dense_9 (Dense)             (None, 10)                1010      \n","                                                                 \n","=================================================================\n","Total params: 5,074,110\n","Trainable params: 5,074,110\n","Non-trainable params: 0\n","_________________________________________________________________\n"]}]},{"cell_type":"code","source":["model.compile(optimizer= 'sgd',loss = 'sparse_categorical_crossentropy',metrics=[\"accuracy\"])"],"metadata":{"id":"zNdtil2XmRL-","executionInfo":{"status":"ok","timestamp":1669981474264,"user_tz":-330,"elapsed":355,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"}}},"execution_count":41,"outputs":[]},{"cell_type":"code","source":["model.fit(x_train,y_train,epochs = 3)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"pSKrKzS4mqH1","executionInfo":{"status":"ok","timestamp":1669982149107,"user_tz":-330,"elapsed":672561,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"}},"outputId":"2f09416f-c801-4f90-a0e9-8838792b65c2"},"execution_count":42,"outputs":[{"output_type":"stream","name":"stdout","text":["Epoch 1/3\n","1875/1875 [==============================] - 224s 119ms/step - loss: 0.4762 - accuracy: 0.8732\n","Epoch 2/3\n","1875/1875 [==============================] - 224s 119ms/step - loss: 0.2267 - accuracy: 0.9327\n","Epoch 3/3\n","1875/1875 [==============================] - 224s 120ms/step - loss: 0.1734 - accuracy: 0.9475\n"]},{"output_type":"execute_result","data":{"text/plain":["<keras.callbacks.History at 0x7fcf3c76cc70>"]},"metadata":{},"execution_count":42}]},{"cell_type":"code","source":["model.evaluate(x_test,y_test)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"JgSaNTjYmuOU","executionInfo":{"status":"ok","timestamp":1669982214942,"user_tz":-330,"elapsed":10173,"user":{"displayName":"Putturu kusumakar Reddy","userId":"07552141107752951949"}},"outputId":"8489a4f3-f699-4b40-a543-3bdc0ac4fc01"},"execution_count":44,"outputs":[{"output_type":"stream","name":"stdout","text":["313/313 [==============================] - 10s 31ms/step - loss: 0.1445 - accuracy: 0.9563\n"]},{"output_type":"execute_result","data":{"text/plain":["[0.14453722536563873, 0.9563000202178955]"]},"metadata":{},"execution_count":44}]},{"cell_type":"code","source":[],"metadata":{"id":"-r9sFt_En-27"},"execution_count":null,"outputs":[]}]}